ML estimation of the spatial lag model with all results and diagnostics. More details can be found at Luc Anselin. Spatial Econometrics: Methods and Models. Kluwer, Dordrecht, 1988.
Note: The input table should not contain missing values. You can use the Missing Value node to replace them.
Select the geometry column to use.
Select the column which contains for each observation in the input data a unique ID, it should be an integer column. The IDs must match with the values of the Spatial Weights node ID column. If 'none' is selected, the IDs will be automatically generated from 0 to the number of rows flowing the order of the first input table.
The column containing the dependent variable to use for the calculation of the spatial ML_Lag model.
The columns containing the independent variables to use for the calculation of the spatial ML_Lag model.
A zipped version of the software site can be downloaded here.